| Literature DB >> 24412997 |
Rachael H Dodd1, Kirsten J McCaffery, Laura A V Marlow, Remo Ostini, Gregory D Zimet, Jo Waller.
Abstract
OBJECTIVE: To measure knowledge and awareness of human papillomavirus (HPV) testing in the USA, the UK and Australia.Entities:
Keywords: HPV; Screening; Testing
Mesh:
Substances:
Year: 2014 PMID: 24412997 PMCID: PMC3995259 DOI: 10.1136/sextrans-2013-051402
Source DB: PubMed Journal: Sex Transm Infect ISSN: 1368-4973 Impact factor: 3.519
Correct responses (n/(%)) to individual items of human papillomavirus (HPV) testing knowledge in those aware of HPV testing
| Overall | USA | UK | AUS | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| All (n=742) | Men (n=299) | Women (n=443) | χ2 (p value) | Men (n=155) | Women (n=228) | χ2 (p value) | Men (n=67) | Women (n=110) | χ2 (p value) | Men (n=77) | Women (n=105) | χ2 (p value) | |
| If a woman tests positive for HPV, she will definitely get cervical cancer (F) | 561 (75.6) | 212 (70.9) | 349 (78.8) | 6.01 (0.014) | 115 (74.2) | 189 (82.9) | 4.27 (0.039) | 49 (73.1) | 90 (81.8) | NS | 48 (62.3) | 70 (66.7) | NS |
| A HPV test can be done at the same time as a Pap smear test | 545 (73.5) | 196 (65.6) | 349 (78.8) | 16.02 (<0.001) | 98 (63.2) | 186 (81.6) | 16.22 (<0.001) | 45 (67.2) | 82 (74.5) | NS | 53 (68.8) | 81 (77.1) | NS |
| A HPV test can tell you how long you have had a HPV infection (F) | 273 (36.8) | 105 (35.1) | 168 (37.9) | NS | 58 (37.4) | 94 (41.2) | NS | 32 (47.8) | 43 (39.1) | NS | 15 (19.5) | 31 (29.5) | NS |
| HPV testing is used to indicate if the HPV vaccine is needed (F) | 263 (35.4) | 85 (28.4) | 178 (40.2) | 10.78 (<0.001) | 45 (29.0) | 94 (41.2) | 5.94 (0.015) | 21 (31.3) | 45 (40.9) | NS | 19 (24.7) | 39 (37.1) | NS |
| When you have a HPV test, you get the results the same day (F) | 243 (32.7) | 72 (24.1) | 171 (38.6) | 17.09 (<0.001) | 34 (21.9) | 92 (40.4) | 14.18 (<0.001) | 19 (28.4) | 35 (31.8) | NS | 19 (24.7) | 44 (41.9) | 5.83 (0.016) |
| If a HPV test shows that a woman does not have HPV, her risk of cervical cancer is low | 181 (24.4) | 84 (28.1) | 94 (21.2) | NS | 33 (21.3) | 45 (19.7) | NS | 28 (41.8) | 26 (23.6) | 6.47 (0.011) | 23 (29.9) | 26 (24.8) | NS |
(F) indicates items for which ‘false’ is the correct response. All other items are true.
NS, not significant, that is, p>0.05.
Sample characteristics of those who had and had not heard of human papillomavirus (HPV) testing (n=1473)
| USA | UK | AUS | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Total heard of HPV (n=617) | Not aware of HPV testing (n=234) | Aware of HPV testing (n=383) | Total heard of HPV (n=404) | Not aware of HPV testing (n=227) | Aware of HPV testing (n=177) | Total heard of HPV (n=452) | Not aware of HPV testing (n=270) | Aware of HPV testing (n=182) | |
| Age (mean (SD)) | 45.12 (15.47) | 48.30 (14.5) | 43.17 (15.8)** | 39.96 (14.17) | 40.62 (14.35) | 39.12 (13.94) | 47.87 (14.73) | 47.81 (14.94) | 47.95 (14.46) |
| Sex (n (%)) | |||||||||
| Male | 253 (41.0) | 98 (41.9) | 155 (40.5) | 155 (38.4) | 88 (38.8) | 67 (37.9) | 164 (36.6) | 87 (32.2) | 77 (42.3)* |
| Female | 364 (59.0) | 136 (58.1) | 228 (59.5) | 249 (61.6) | 139 (61.2) | 110 (62.1) | 288 (63.7) | 183 (67.8) | 105 (57.7) |
| Relationship status (n (%)) | |||||||||
| Single | 201 (32.6) | 73 (31.2) | 128 (33.4) | 128 (31.7) | 71 (31.3) | 57 (32.2) | 120 (26.5) | 60 (22.2) | 60 (33.0) |
| Dating | 51 (8.3) | 15 (6.4) | 36 (9.4) | 43 (10.6) | 24 (10.6) | 19 (9.7) | 34 (7.5) | 24 (8.9) | 10 (5.5) |
| Cohabiting | 50 (8.1) | 19 (8.1) | 31 (8.1) | 69 (17.1) | 40 (17.6) | 29 (16.4) | 67 (14.8) | 44 (16.3) | 23 (12.6) |
| Married | 315 (51.1) | 127 (54.3) | 188 (49.1) | 164 (40.6) | 92 (40.5) | 72 (40.7) | 231 (51.1) | 142 (52.6) | 89 (48.9) |
| Ethnicity† (n (%)) | |||||||||
| Majority | 527 (85.4) | 199 (85.0) | 328 (85.6) | 332 (82.2) | 196 (86.3) | 136 (76.8)* | 347 (76.8) | 215 (79.6) | 132 (72.5) |
| Minority | 90 (14.6) | 35 (15.0) | 55 (14.4) | 72 (17.8) | 31 (13.7) | 41 (23.2) | 105 (23.2) | 55 (20.4) | 50 (27.5) |
| Education‡ (n (%)) | |||||||||
| High | 248 (40.2) | 80 (34.2) | 168 (43.9)* | 178 (44.2) | 96 (42.3) | 82 (46.3) | 120 (26.5) | 58 (21.5) | 62 (34.1)* |
| Medium | 227 (36.8) | 84 (35.9) | 143 (37.3) | 149 (37.0) | 82 (36.1) | 67 (37.9) | 165 (36.5) | 103 (38.1) | 62 (34.1) |
| Low | 142 (23.0) | 70 (29.9) | 72 (18.8) | 76 (18.9) | 48 (21.1) | 28 (15.8) | 167 (36.9) | 109 (40.4) | 58 (31.8) |
| Daughter 9–17 years | 85 (13.8) | 36 (15.3) | 49 (12.8) | 72 (17.9) | 48 (21.1) | 24 (13.6) | 75 (16.6) | 35 (13.0) | 40 (22.1)* |
| Had HPV vaccine§ | 43 (11.8) | 11 (8.1) | 32 (14.0) | 21 (8.4) | 9 (6.5) | 12 (10.9) | 43 (14.9) | 30 (16.4) | 13 (12.4) |
*Significant at p<0.05.
**Significant at p<0.001.
†Majority in USA=white non-hispanic, UK=white British, AUS=Australian.
‡Education was coded as follows:
High: college graduate/graduate school (USA), degree/postgraduate degree (UK), any university education (AUS). Medium: some college/associate degree (USA), vocational/A-levels/other qualification
§Women only.
Demographic correlates of awareness of human papillomavirus (HPV) testing (multivariate logistic regression models)
| OR (95% CI) | |||
|---|---|---|---|
| USA (n=617) | UK (n=404) | AUS (n=451) | |
| Age | 0.98 (0.97 to 0.99)*** | – | – |
| Relationship status | |||
| Single | – | – | 1.73 (1.10 to 2.74)* |
| Dating/cohabiting | – | – | 0.79 (0.48 to 1.32) |
| Married (reference) | – | – | 1.00 |
| Ethnicity† | |||
| Majority (reference) | – | 1.00 | – |
| Minority | – | 1.91 (1.14 to 3.19)* | – |
| Education‡ | |||
| High (reference) | 1.00 | – | 1.00 |
| Medium | 0.83 (0.57 to 1.22) | – | 0.57 (0.35 to 0.92)* |
| Low | 0.49 (0.32 to 0.74)*** | – | 0.53 (0.33 to 0.87)** |
| Have a daughter 9–17 years | – | – | 1.99 (1.19 to 3.34)** |
*p<0.05.
**p<0.01.
***p<0.001.
†Majority in USA=white non-hispanic, UK=white British, AUS=Australian.
‡Education was coded as follows:
High: college graduate/graduate school (USA); degree/postgraduate degree (UK), any university education (AUS). Medium: some college/associate degree (USA); vocational/A-levels/other qualification
Demographic differences in mean human papillomavirus (HPV) testing knowledge
| USA (n=383) | UK (n=177) | AUS (n=182) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| n | HPV testing knowledge (mean (SD)) | Significance (p value) | n | HPV testing knowledge (mean (SD)) | Significance (p value) | n | HPV testing knowledge (mean (SD)) | Significance (p value) | |
| Sex (mean (SD)) | |||||||||
| Male | 155 | 2.47 (1.50) | t(381)=−3.97, (<0.001) | 67 | 2.90 (1.38) | NS | 77 | 2.30 (1.51) | t(180)=−2.01, (0.046) |
| Female | 228 | 3.07 (1.41) | 110 | 2.92 (1.39) | 105 | 2.77 (1.61) | |||
| Relationship status (mean) | |||||||||
| Single | 128 | 2.66 (1.51) | NS | 57 | 3.02 (1.49) | NS | 60 | 2.37 (1.68) | F(3,178)=3.84, (0.011) |
| Dating | 36 | 2.67 (1.72) | 19 | 3.00 (1.45) | 10 | 3.50 (1.43) | |||
| Cohabiting | 31 | 3.35 (1.40) | 29 | 3.07 (1.25) | 23 | 3.35 (1.50)* | |||
| Married | 188 | 2.89 (1.40) | 72 | 2.74 (1.33) | 89 | 2.40 (1.48)* | |||
| Education (mean) | |||||||||
| High | 168 | 3.00 (1.54)* | F(2,380)=3.80, (0.023) | 82 | 3.12 (1.30)* | F(2,174)=3.11, (0.047) | 62 | 2.77 (1.59) | NS |
| Medium | 143 | 2.83 (1.43) | 67 | 2.58 (1.48)* | 62 | 2.63 (1.60) | |||
| Low | 72 | 2.43 (1.34)* | 28 | 3.07 (1.27) | 58 | 2.29 (1.53) | |||
| Had HPV vaccine (mean (SD)) | |||||||||
| Yes | 32 | 3.31 (1.62) | NS | 12 | 2.75 (1.06) | NS | 13 | 4.08 (1.55) | t(103)=3.27, (<0.001) |
| No | 96 | 3.03 (1.38) | 98 | 2.94 (1.43) | 92 | 2.59 (1.54) | |||
*Represents significant differences at p<0.05 in posthoc Tukey's tests.
NB, only demographic items with significant differences are shown in the table.
NS, not significant, that is, p>0.05.